These Families Are Shutting Down the Bank of Mum and Dad
Parents are cutting the financial cord with their adult kids later than ever. They hope it isn’t awkward.
Parents are cutting the financial cord with their adult kids later than ever. They hope it isn’t awkward.
The parents have been paying the monthly phone bill and covering rent for far longer than in prior generations . Some are helping their children with down payments to buy homes. Others are putting a roof over their kids’ heads well into their 20s and 30s to help them save because they can’t cover rising costs of living.
That comes with a price tag. More than a quarter of parents who are helping their children financially said it caused them to postpone retirement, according to a recent Credit Karma survey . More than half had to cut back on living expenses and about a third took on debt.
Feeling stretched, they are negotiating the terms of separation.
Nancy Clark and her then-28-year-old son, Reid Clark, had just sat down to dinner in June 2022 when the conversation turned to when he would move out. The topic had come up before, but this time they decided to set a date one year later.
Nancy, now 60, said she remembers thinking: “I know that becoming financially independent needs to feel a little painful.”
Reid set off on his own last June. He ditched a job managing his family’s three ice cream shops in New Hampshire for a gig as the assistant to a professional ice hockey team’s mascot in St. Paul, Minn. He also works at an M&M’s store.
Nancy bought him groceries when he moved in and occasionally gives $50. By this June, Reid will no longer get any financial help if he’s short. He hasn’t needed to hit up his mum for rent money in the past few months. “I want to chart my own path in life,” he said.
Taking such a gradual approach and framing the conversation around gaining financial independence give it a positive spin, said Rocky Fittizzi , a wealth strategies adviser at Bank of America Private Bank. Telling your children you’re cutting them off suggests it is a punishment.
Many adult children are living at home, or moving back in, to save money. The cost of food and rent have jumped, and more college graduates are saddled with student debt. The share of 25-to-29 year-olds with student loans rose to 43% in 2022 from 28% in 1992. The rise was even bigger for those between 30 and 34, according to a recent report by the Pew Research Center.
Some 20% of men and 12% of women between 25 and 34 years old lived at home last year, far higher than two decades ago, according to Census Bureau data.
During the pandemic, layoffs and money strains forced some adult children and their parents to live together and share finances, said Arne Boudewyn at Insights Squared Consulting Group, a family wealth consulting company.
Worries over losing the close bonds forged during those years may add to the stress of ending monetary help, financial advisers said.
“Letting go is often harder for parents these days because we need to feel needed as much as we want to feel wanted,” said Bobbi Rebell , the founder of Financial Wellness Strategies, which gives workshops for parents about how to teach their children to be financially responsible.
Pam Lucina still remembers the day about 30 years ago when her father told her she was off the payroll. She was in her first year of law school. Her parents had paid for her undergraduate education. Because she assumed they would pay for law school too, she had chosen a pricey school.
She graduated with $40,000 in student debt and couldn’t afford to contribute to her 401(k) for about five years.
“I know that my parents sacrificed to give me what they did and I’m grateful for all of their past support but I wish I had been more prepared,” said Lucina, 52, now an executive vice president at Northern Trust .
Lucina said the experience was a main reason she became a financial adviser. She has three daughters, and recently asked the oldest to complete her own college financial-aid form.
She tells clients that even if they have good intentions when cutting off their kids, it can feel to the children as if their parents are withholding money to punish them.
“Assure them that love is not contingent on finances,” she said.
There are times when financial help is necessary. With a health issue or addiction, parents often use a special needs trust, where funds typically go directly to the child’s treatment and recovery. Others may opt to help children temporarily after a layoff.
But financial advisers said parents need to set boundaries.
Ashley Kaufman ’s parents told her she would need to move out of their Manhattan apartment, where she was living rent-free, once she saved $100,000 for a down payment on her own place.
The cybersecurity consultant hit her goal by the time she was 25, but she wasn’t sure she was ready to move out right then. She enjoyed seeing her younger siblings regularly and playing with her family’s dog named Waffles, she said. Her parents encouraged her to go to some open houses anyway.
Kaufman, who is the stepdaughter of Rebell from Financial Wellness Strategies, is now 27. She bought her apartment around two years ago.   She’s happy to be building equity in her place.
“I’m glad my parents gave me a little nudge,” she said.
—Julia Carpenter contributed to this article .
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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